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Effective and Scalable Data Discovery with NextiaJD., , and . EDBT, page 690-693. OpenProceedings.org, (2021)FAME: Supporting Continuous Requirements Elicitation by Combining User Feedback and Monitoring., , , , , , , , , and . RE, page 217-227. IEEE Computer Society, (2018)Quarry: Digging Up the Gems of Your Data Treasury., , , , , and . EDBT, page 549-552. OpenProceedings.org, (2015)Generating valid test data through data cloning., , , and . Future Gener. Comput. Syst., (July 2023)An Integration-Oriented Ontology to Govern Evolution in Big Data Ecosystems., , , , and . CoRR, (2018)An Integration-Oriented Ontology to Govern Evolution in Big Data Ecosystems., , , , and . EDBT/ICDT Workshops, volume 1810 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Towards Scalable Data Discovery., , and . EDBT, page 433-438. OpenProceedings.org, (2021)A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method., , , , , , , , , and 1 other author(s). CAiSE, volume 10816 of Lecture Notes in Computer Science, page 603-618. Springer, (2018)Metadata-driven data integration.. Polytechnic University of Catalonia, Spain, (2019)HYPPO: Using Equivalences to Optimize Pipelines in Exploratory Machine Learning., , , , and . ICDE, page 221-234. IEEE, (2024)